Description
The data visualization showed the web links from Tencent’s wiki page. Looking at the neighbors of Tencent, the keywords was Music, Entertainment, Film, HBO, Book, YouTube, Online Game,Mobile game, QQ, and Wechat, through which, we could roughly sketch the business empire of Tencent, the information market (Instant Message and Social) and the entertainment market including (Game, Video, and Music). In a nutshell, Tencent was a company focusing on providing entertainment and communication tools for the market. At the same time, we could see keywords like Artificial Intelligence and Robotics connected to Tencent, which highlighted the future technology transformation.
Protocol
The final TSV dataset was obtained by the process of using Python to implement a crawler to extract the webpage Network topology, assigning the root Wikipedia page(Tencent), analyzing the raw HTML data to extract links, removing the irrelevant links, using Breadth-first search (BFS) methods to visit the links on the root page, recording the title of each pages, pointing to relation and the distance to the root page, stopping at the distance of 2, and then exporting the Tencent.tsv file. The elements in each file were the source, target, and depth. Importing the CSV file into Gephi(Tool), using the Force Atlas layout method could obtain the mesh visualization for Tencent. Since the amount of data was too large, the SVG format file was exported from Gephi, and then put into the Adobe Illustrator for manual deletion and word editing, to display the data better.
The size and color of the corresponding character were manually adjusted according to the number of links, and some unnecessary words were deleted to avoid overlapping. Setting a dark background could highlight the display. The zooming tool was designed for browsing the visualization so that the tiny details could also be observed.
Data
Data Source: Wikipedia
Timestamp: 2019.06
View Data (627kB)
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